Analyzing large volumes of data is only part of what makes big data analytics different from traditional data analytics Topics Spotlight: AI-ready data centers ...

SAN JOSE, Calif., November 19, 2013 – VSS Monitoring, a leading provider of network packet brokers (NPBs), today launched the Big Data Visibility solution, a system that closes the visibility ...

Big Data: Extremely large data sets that require advanced techniques for capture, storage, analysis and visualisation. Predictive Modelling: A statistical method that utilises historical data to ...

As a result, many are adding network forensics and big data analytics systems for capturing, processing, and analyzing a whole bunch of additional security data. In the majority of cases, big data ...

Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain ...

Today Cray rolled out the Cray Urika-GX system – the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The ...

Individuals who want to improve the performance of their organization by harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that ...

A recent IIA webinar outlined the state of analytics opportunities for healthcare and presented five case studies of big data in action. These five scenarios, plus five others, highlight what’s ...

Advanced analytics: It’s not enough to collect and process industrial Big Data—there also needs to be capabilities in place to analyze and interpret the data, potentially in near-real-time, to drive ...

Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: improvement ...